UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 9 Issue 11
November-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2211390


Registration ID:
504729

Page Number

d643-d647

Share This Article


Jetir RMS

Title

Fake News Detection Using Machine Learning Literature Review

Abstract

Most smart phone users choose social media over the internet to read the news. The news is published on news websites, which also serve as an official source. How can the news and articles that are shared on social media platforms like WhatsApp groups, Facebook Pages, Twitter, and other microblogs and social networking sites be verified? To take rumors seriously and present them as news is detrimental to society. Stopping rumors is urgently needed, especially in emerging nations like India. Instead, people need to concentrate on accurate, reliable news pieces. This essay presents a paradigm and a methodology for identifying fake news. It is attempted to aggregate the news with the use of machine learning and natural language processing, and then afterwards decide whether the news is true or fraudulent using Support Vector Machine. The proposed model's output is contrasted with those of earlier models. The suggested approach is effective and can accurately define whether a result is right up to 93.6% of the time.

Key Words

Fuzzy Logic, Fuzzy Inference, Machine Learning, Naive Based Classifier, News, Prediction, Recommendation, Support Vector Machine are all terms used to describe artificial intelligence (SVM).

Cite This Article

"Fake News Detection Using Machine Learning Literature Review ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.d643-d647, November-2022, Available :http://www.jetir.org/papers/JETIR2211390.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Fake News Detection Using Machine Learning Literature Review ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppd643-d647, November-2022, Available at : http://www.jetir.org/papers/JETIR2211390.pdf

Publication Details

Published Paper ID: JETIR2211390
Registration ID: 504729
Published In: Volume 9 | Issue 11 | Year November-2022
DOI (Digital Object Identifier):
Page No: d643-d647
Country: pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000272

Print This Page

Current Call For Paper

Jetir RMS